Trusted Agentic Systems

When AI acts,trust becomes infrastructure.

KOREV builds AI systems that reason and act inside an organization's real processes, with the traceability, control, and sovereignty that high-stakes decisions demand.

Trust the future.

AI can already answer.The next challenge is trusting it with real work.

  1. AnswerConversational AI
  2. ExecuteAgentic AI
  3. ActAutonomous systems

The moment AI acts, four questions arise.

Context
Does it understand your organization: its documents, its rules, its exceptions?
Action
Can it work on real cases, in real tools, without stepping outside its scope?
Control
Who approves, above what threshold, and what happens when there's doubt?
Accountability
Will you be able to explain and defend what it did, months later?

A better model doesn't answer these questions.An architecture does.

Architecture

One system. Three functions.

  1. Atlas · Think

    Understand and reason.

    KOREV's cognitive engine. It understands the organization's context, reasons over its cases, and orchestrates the capabilities each task needs.

    Built on Olmo 3 32B, an open model released by the Allen Institute for AI (Ai2), with public weights, code, and training data. KOREV refines it and combines it with its own orchestration technology.

    Atlas in detail
  2. Evidence · Act

    Work inside your processes.

    The environment where KOREV agents handle cases, documents, research, and business tasks alongside your teams.

    Evidence in detail
  3. PRISM · Trust

    Control what matters.

    The control process for critical operations: multiple models cross-checked, human approval, stop by default when in doubt, and a verifiable record of every decision.

    PRISM in detail

Atlas thinks. Evidence acts. PRISM controls.

Use cases

Real processes. Not demos.

In every domain, the same division of work: AI prepares, your teams decide.

AI prepares

  • Nonconformity analysis and technical investigation
  • Search across procedures and technical documentation
  • Preparation of quality and maintenance reviews

Your teams decide

Quality approves every corrective action before it's carried out.

Industry: learn more FR

AI prepares

  • Document research and exhibit analysis
  • Timelines and summaries of complex cases
  • Every conclusion linked to the passage it rests on

Your teams decide

The lawyer or in-house counsel keeps the legal assessment and the signature.

Legal: learn more FR

AI prepares

  • Search and synthesis across internal documents
  • Back-office case processing
  • Internal agents that prepare work inside your tools

Your teams decide

Process owners approve anything outside the agreed scope.

Enterprise operations: learn more

AI prepares

  • Analysis and preliminary review of case files
  • Documentation and drafting of responses
  • In a controlled deployment environment

Your teams decide

Public officials review and decide; the system documents what was prepared.

Public sector: learn more FR
All solutions

Clients & partners

  • Inovallée
  • Tarmac
  • DICA
  • Compactop
  • Forvis Mazars
  • Kelten
  • Caisse d’Épargne
  • Université Grenoble Alpes

Deployment

Start with one process.Scale the intelligence.

  1. 01

    Pilot

    One process, a defined corpus, success criteria agreed before you start.

    Evidence

  2. 02

    Production

    Multiple agents and processes, integrated with your tools.

    Evidence and Atlas

  3. 03

    Critical

    High-stakes decisions go through reinforced control.

    Atlas, Evidence, and PRISM

  4. 04

    Sovereign

    Dedicated infrastructure, in a European cloud, hybrid, or on-premises.

    The full system, in your environment

No process identified yet? Start with a Pulse assessment.

Trust

Trust isn't declared.It's demonstrated.

Data sovereignty
European cloud, hybrid, or on-premises, depending on your requirements.
Open model
Atlas is built on a model whose weights, code, and training data are public.
Human oversight
High-stakes decisions stay with your teams.
Traceability
Models, sources, rules, and approvals are retained for every task.
Auditability
The verifiable decision record format, based on hashes and signatures, is described in a public technical note.
Transparency
The Trust Center publishes what is available, what is partial, and what the limits are.

Designed for regulated environments. Designed to support governance and auditability.

Excerpt from the KOREV manifesto: robotics and physical intelligence

KOREV Labs

Intelligence won't stay behind a screen.

Beyond software agents, KOREV Labs explores where AI meets the physical world.

  • Embodied AI
  • Robotics
  • Neurosensory systems
  • Physical intelligence
Explore KOREV Labs
  1. Real-world applications
  2. Real-world signals
  3. Evaluation
  4. Models
  5. Agents and robotics
  6. New applications

KOREV also builds its own applications to test its technology in real-world conditions. Data enters this loop only within an explicit contractual and legal framework.

Frequently asked questions

The questions we hear before a first conversation.

The KOREV AI emblem reveal

From AI that answers to AI that acts.With proof of what it does.

Talk to KOREV

Investors, partners, researchers: contact@korev-ai.com

Trust the future.